The VI dataset analyzed in the preceding subsection contained a number of large visible axonal and dendritic components, but also displayed strong somatic components. For our next example we focus on a CI dataset dominated by dendritic components, where the simple Gaussian spatial filter approach introduced in [1]} for initializing somatic components is ineffective. (Indeed, in dendritic or axonal imaging datasets, a search for “hotspots" in the images is biased towards pixels summing activity from multiple neurons — and these “non-pure" pixels are exactly those we wish to avoid in the demixing initialization strategy proposed here.)
